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Learn to design and build truly autonomous AI agents capable of reasoning, acting, and learning independently in this comprehensive conference talk from the MLOps World GenAI Summit 2025. Discover the core architectural principles behind agent design, including reasoning, reflection, and structured action, and see how these components combine to create robust, transparent, and adaptable agent systems. Explore how Federico Bianchi and his team at TogetherAI construct agents that execute end-to-end analytical workflows, transforming raw data into actionable insights through reinforcement learning, tool integration, and iterative improvement loops. Master the key design principles for building production-ready AI agents that can generalize beyond their initial training and handle increasingly complex tasks. Understand how reasoning, reflection, and tool use shape agent performance, and learn why context understanding is critical for effective agent deployment. Gain both conceptual roadmaps and technical foundations needed to move beyond demos and build self-improving AI agents that can augment workforces in real-world production environments.
